Innovative Technical Project Lead with a strong background in AI and control systems, currently driving impactful research initiatives at Cummins Inc. Recognized for orchestrating seamless collaboration among stakeholders and external partners to achieve project goals. Adept at spearheading algorithm development, resulting in novel solutions that directly address project objectives. Proficiently manage complex project lifecycles, ensuring milestones are consistently met on schedule. Notable achievements include designing and implementing advanced controllers for Automotive applications on embedded systems. Pioneered the integration of Federated Learning techniques for Connected and Automated Vehicles, incorporating privacy-preserving methodologies. Extensive experience in applying diverse optimization techniques, including Genetic Algorithms, Gradient-based methods, Non-linear optimization, and Physics-Informed Machine Learning, to drive innovation. Demonstrated expertise in Functional Safety (ISO 26262 - Certified FSCAE), embedded systems intricacies, and successful integration of ADAS/ADS components. Proven track record of leading integration efforts for a high-fidelity simulation platform, fostering harmonious cooperation between controls, powertrain, and ADS systems. Proficiently manage comprehensive testing procedures, utilizing RP tools for thorough testing. Published researcher with a portfolio spanning AI, controls, and engineering disciplines. Proficient in Python, MATLAB, and C++, with a strong grasp of technologies like Git, Docker, and Cloud architecture. Committed to advancing the frontier of AI and control systems through collaborative leadership and technical prowess.